Simon D. Angus
Impact in
- Modeling and Simulation top 10%
- Orthopedics and Sports Medicine top 10%
- Sports Performance and Training
Papers in
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- Evolutionary Game Theory and Cooperation 6
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- Opinion Dynamics and Social Influence 5
- Complex Network Analysis Techniques 2
- Co-authors
- J. Wreford Watson (1 shared paper)Jonathan Newton (7 shared papers)Thomas P. Davis (2 shared papers)Monika Joanna Piotrowska (4 shared papers)Martina H. Stenzel (1 shared paper)John F. Quinn (1 shared paper)Michael R. Whittaker (1 shared paper)Klaus Ackermann (1 shared paper)
In The Last Decade
Simon D. Angus
23 papers receiving 483 citations
Peers
Comparison fields: 5 of 118
- Modeling and Simulation 33
- Orthopedics and Sports Medicine 58
- Computer Science Applications 34
- Surfaces, Coatings and Films 40
- Safety Research 41
Countries citing papers authored by Simon D. Angus
This map shows the geographic impact of Simon D. Angus's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Simon D. Angus with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Simon D. Angus more than expected).
Fields of papers citing papers by Simon D. Angus
This network shows the impact of papers produced by Simon D. Angus. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Simon D. Angus. The network helps show where Simon D. Angus may publish in the future.
Co-authors
The 24 scholars most cited alongside Simon D. Angus, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 120 | |
| 2 | 2003 | 108 | |
| 3 | 2013 | 49 | |
| 4 | 2015 | 31 | |
| 5 | 2009 | 31 | |
| 6 | 2015 | 22 | |
| 7 | 2014 | 21 | |
| 8 | 2015 | 20 | |
| 9 | 2002 | 20 | |
| 10 | 2011 | 19 | |
| 11 | 2010 | 14 | |
| 12 | 2019 | 12 | |
| 13 | 2021 | 8 | |
| 14 | 2014 | 7 | |
| 15 | 2019 | 7 | |
| 16 | 2020 | 5 | |
| 17 | 2013 | 3 | |
| 18 | 2020 | 3 | |
| 19 | 2017 | 3 | |
| 20 | 2012 | 2 |
About Simon D. Angus
Simon D. Angus is a scholar working on Sociology and Political Science, Statistical and Nonlinear Physics, Management Science and Operations Research, Economics and Econometrics and Orthopedics and Sports Medicine, having authored 24 papers that have together received 510 indexed citations. Recurring topics across this work include Evolutionary Game Theory and Cooperation (6 papers), Opinion Dynamics and Social Influence (5 papers), Sports Performance and Training (3 papers), Complex Systems and Decision Making (2 papers), Block Copolymer Self-Assembly (2 papers), Corporate Finance and Governance (2 papers), Polymer Surface Interaction Studies (2 papers) and Complex Network Analysis Techniques (2 papers). The work is most often cited by research in Modeling and Simulation (33 citations), Orthopedics and Sports Medicine (58 citations), Computer Science Applications (34 citations), Surfaces, Coatings and Films (40 citations) and Safety Research (41 citations). Simon D. Angus has collaborated with scholars based in Australia, Japan and Poland. Frequent co-authors include J. Wreford Watson, Jonathan Newton, Thomas P. Davis, Monika Joanna Piotrowska, Martina H. Stenzel, John F. Quinn, Michael R. Whittaker, Klaus Ackermann, Behrooz Hassani‐Mahmooei and Matthew J. Berryman. Their work appears in journals such as Journal of Theoretical Biology, PLoS Computational Biology, Medicine & Science in Sports & Exercise, Games and Economic Behavior and Systems Research and Behavioral Science.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.